Requirements

Expected technologies

SQL

Python

Pandas

Linux

Optional technologies

Java

GCP

AWS

QuickSight

Google Looker

Apache Superset

Our requirements

• Academic Background: Bachelor's or Master's degree in Computer Science, Mathematics, Telecommunications, or a related field.
• Technical Proficiency: Proficiency in SQL and Python (including Pandas), with hands-on experience in the Linux environment
• Professional Experience: Demonstrated experience in Data Engineering, with a strong foundation in data architecture and processing methodologies
• Communication Skills: Fluent in English to ensure effective collaboration and communication across teams.

Optional

• Java Expertise: Experience with Java (Spring) frameworks for backend development
• Cloud Proficiency: Familiarity with cloud technologies: GCP, AWS
• Analytics tools experience: Familiarity with analytics solutions like: QuickSight, Google Looker, Apache Superset
• AI Knowledge: Experience with AI-driven solutions for data augmentation

Your responsibilities

• Build and Manage Data Pipelines: Develop and maintain robust data processing pipelines tailored for language analytics tasks, ensuring efficient data flow and accuracy
• Maintain and Improve Data Augmentation Services: Leverage advanced AI services, including Large Language Models (LLMs), to enhance and verify data quality
• Data Exploration and Reporting: Analyze text data to generate insightful reports, identifying trends, usage patterns, and defining key metrics (e.g. end-to-end success rate)
• Cross-Functional Collaboration: Work closely with engineers, language experts, and other Samsung R&D centers to align data solutions with organizational goals and drive innovation.